The (REF ) operator depends of \(p+1\)  parameters (\(\alpha \)  and the \(\lambda \) -weights). Observe that this operator is a combination of the \(\alpha \) -fairness measure introduced by [1]} and the fair OWA operators introduced in [2]}. Actually, in case \(\alpha =0\) , our operator turns into the \(\mathbf {\lambda }\) -OWA operator. In case \(\mathbf {\lambda }=(\frac{1}{p}, \ldots , \frac{1}{p})\)  it becomes the \(\frac{1}{p}\) -weighted \(\alpha \) -fairness function \(\frac{1}{p}\Psi _\alpha \) . This combination of these two operators allows us to derive a unified framework to deal with fairness in maximal covering location problems, that we detail below.
